Relationships between urban form and air quality at different spatial scales: A case study from northern China

Examining the relationships between urban form and air quality on small spatial scales across multiple cities could simultaneously identify between- and within-city impacts. The current study used linear regression and geographically weighted regression models to identify the overall and local relat...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fan Li, Tao Zhou, Feng Lan
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban form Air quality Geographically weighted regression model Spatial scale Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/50eda3c3e43341d883d6ba40cbfd23e6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:50eda3c3e43341d883d6ba40cbfd23e6
record_format	dspace
spelling	oai:doaj.org-article:50eda3c3e43341d883d6ba40cbfd23e62021-12-01T04:32:53ZRelationships between urban form and air quality at different spatial scales: A case study from northern China1470-160X10.1016/j.ecolind.2020.107029https://doaj.org/article/50eda3c3e43341d883d6ba40cbfd23e62021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309687https://doaj.org/toc/1470-160XExamining the relationships between urban form and air quality on small spatial scales across multiple cities could simultaneously identify between- and within-city impacts. The current study used linear regression and geographically weighted regression models to identify the overall and local relationships between urban form and air quality at the city administrative unit, and at 50 km and 10 km spatial scales in 50 prefecture-level cities in northern China. Air quality data were obtained from 235 monitoring stations throughout 2015. Urban form was characterized by urban fragmentation, sparseness, continuity and forest area ratio, as computed from satellite images. High urban continuity and low forest area ratios were related to poor air quality at all three spatial scales. Urban sparseness had a positive relationship with air quality at the city administrative unit scale and a negligible relationship at the 50 km- and 10 km- scales. The overall relationship between urban form and air quality varied little according to spatial scale, while local relationships varied widely, with the difference increasing with decreasing scale. The findings suggest that, in general, public policy should encourage scattered, polycentric, and highly forested urban forms; however, policies for small spatial units within a city should consider the specific conditions of the unit.Fan LiTao ZhouFeng LanElsevierarticleUrban formAir qualityGeographically weighted regression modelSpatial scaleEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107029- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban form Air quality Geographically weighted regression model Spatial scale Ecology QH540-549.5
spellingShingle	Urban form Air quality Geographically weighted regression model Spatial scale Ecology QH540-549.5 Fan Li Tao Zhou Feng Lan Relationships between urban form and air quality at different spatial scales: A case study from northern China
description	Examining the relationships between urban form and air quality on small spatial scales across multiple cities could simultaneously identify between- and within-city impacts. The current study used linear regression and geographically weighted regression models to identify the overall and local relationships between urban form and air quality at the city administrative unit, and at 50 km and 10 km spatial scales in 50 prefecture-level cities in northern China. Air quality data were obtained from 235 monitoring stations throughout 2015. Urban form was characterized by urban fragmentation, sparseness, continuity and forest area ratio, as computed from satellite images. High urban continuity and low forest area ratios were related to poor air quality at all three spatial scales. Urban sparseness had a positive relationship with air quality at the city administrative unit scale and a negligible relationship at the 50 km- and 10 km- scales. The overall relationship between urban form and air quality varied little according to spatial scale, while local relationships varied widely, with the difference increasing with decreasing scale. The findings suggest that, in general, public policy should encourage scattered, polycentric, and highly forested urban forms; however, policies for small spatial units within a city should consider the specific conditions of the unit.
format	article
author	Fan Li Tao Zhou Feng Lan
author_facet	Fan Li Tao Zhou Feng Lan
author_sort	Fan Li
title	Relationships between urban form and air quality at different spatial scales: A case study from northern China
title_short	Relationships between urban form and air quality at different spatial scales: A case study from northern China
title_full	Relationships between urban form and air quality at different spatial scales: A case study from northern China
title_fullStr	Relationships between urban form and air quality at different spatial scales: A case study from northern China
title_full_unstemmed	Relationships between urban form and air quality at different spatial scales: A case study from northern China
title_sort	relationships between urban form and air quality at different spatial scales: a case study from northern china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/50eda3c3e43341d883d6ba40cbfd23e6
work_keys_str_mv	AT fanli relationshipsbetweenurbanformandairqualityatdifferentspatialscalesacasestudyfromnorthernchina AT taozhou relationshipsbetweenurbanformandairqualityatdifferentspatialscalesacasestudyfromnorthernchina AT fenglan relationshipsbetweenurbanformandairqualityatdifferentspatialscalesacasestudyfromnorthernchina
_version_	1718405842048385024

Relationships between urban form and air quality at different spatial scales: A case study from northern China

Ejemplares similares